CN114490807A - Logistics timeliness tracking method and device, terminal equipment and storage medium - Google Patents

Logistics timeliness tracking method and device, terminal equipment and storage medium Download PDF

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CN114490807A
CN114490807A CN202111624141.7A CN202111624141A CN114490807A CN 114490807 A CN114490807 A CN 114490807A CN 202111624141 A CN202111624141 A CN 202111624141A CN 114490807 A CN114490807 A CN 114490807A
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钟通
刘南村
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Shenzhen Bessky Technology Co ltd
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Abstract

The invention discloses a logistics timeliness tracking method, a logistics timeliness tracking device, terminal equipment and a storage medium, wherein the method comprises the steps of obtaining track information of an order; matching the user-defined nodes according to the track information to obtain information of each node of the order; performing statistical analysis on the information of each node to obtain a statistical analysis result; and grading the logistics merchants according to the statistical analysis result. The invention solves the problem of accurately evaluating the logistics merchants.

Description

Logistics timeliness tracking method and device, terminal equipment and storage medium
Technical Field
The invention relates to the field of logistics management, in particular to a logistics aging tracking method, a logistics aging tracking device, terminal equipment and a storage medium.
Background
As one of the products of economic globalization, logistics transportation gradually becomes a crucial link in economic life, in recent years, the logistics industry keeps growing rapidly, the logistics system is improved continuously, the number of logistics merchants is increased, and for the logistics merchants, goods in a virtual store need to be sent to users, and the goods need to be delivered to warehouses from production enterprises in time. The logistics company is not only a warehouse of a production enterprise, but also a physical supplier of a user. The logistics merchants have become leaders and coordinators of social production chains, and provide all-round logistics services for society.
For modern enterprises, logistics providers need to be accurately evaluated to realize the optimization of the value and the operational behavior of the whole process of a product supply chain, information becomes the core of logistics management at present, but because logistics information is numerous and complicated, the logistics providers can be accurately evaluated only by effectively extracting and analyzing the information, so that the logistics efficiency of the enterprises is effectively improved, and the logistics management cost is reduced.
Therefore, there is a need to provide a solution for accurate evaluation of logistics merchants.
Disclosure of Invention
The invention mainly aims to provide a logistics timeliness tracking method, a logistics timeliness tracking device, terminal equipment and a storage medium, and aims to solve the problem of accurately evaluating logistics merchants.
In order to achieve the above object, the present invention provides a logistics aging tracking method, including:
acquiring track information of an order;
matching the user-defined nodes according to the track information to obtain information of each node of the order;
performing statistical analysis on the information of each node to obtain a statistical analysis result;
and grading the logistics merchants according to the statistical analysis result.
Optionally, the step of obtaining track information of the order includes:
acquiring track information of the order from a logistics website through a crawler technology; or
And acquiring the track information of the order through an application program interface API of the docking logistics provider.
Optionally, the step of obtaining track information of the order from the logistics website by using a crawler technology includes:
and crawling the track information of the order of the logistics website by a plurality of crawler hosts at the same time, wherein the crawler hosts use an intelligent agent Internet Protocol (IP).
Optionally, the step of obtaining the track information of the order from the logistics website by using a crawler technology further includes:
it is right the state information of crawler host computer monitors, wherein, the state information of crawler host computer includes the operating condition of crawler host computer, the quantity that need crawl every day, the quantity that current was crawled, the quantity that current team was crawled and the quantity that current anomaly was crawled.
Optionally, the step of obtaining information of each node of the order by matching the custom node according to the track information further includes:
configuring a custom node, wherein the custom node comprises one or more of waiting for surfing the internet, leaving a port, customs clearance, arriving at a destination, rejecting a customer, returning and having a good deal.
Optionally, the step of obtaining information of each node of the order by matching the custom node according to the track information includes:
extracting key words in the track information;
matching the keywords with the pre-configured custom nodes;
and obtaining the information of each node of the order according to the matching result.
Optionally, the step of performing statistical analysis on the information of each node to obtain a statistical analysis result includes:
carrying out statistical analysis on the time spent in reaching each node to obtain the time efficiency of each node;
carrying out statistical analysis on the Internet surfing time of the order to obtain the Internet surfing time of the order;
performing statistical analysis on the signing information of each country to obtain the signing yield of each country;
performing statistical analysis on the signing information of each order to obtain the signing rate of each order;
and taking the time efficiency of each node, the online time efficiency of the order, the sign-in rate of each country and the sign-in rate of each order as the statistical analysis result.
In addition, to achieve the above object, the present invention further provides a logistics aging tracking apparatus, including:
the acquisition module is used for acquiring the track information of the order;
the matching module is used for matching the user-defined nodes according to the track information to obtain the information of each node of the order;
the analysis module is used for carrying out statistical analysis on the information of each node to obtain a statistical analysis result;
and the rating module is used for rating the logistics merchants according to the statistical analysis result.
In addition, to achieve the above object, the present invention further provides a terminal device, where the terminal device includes a memory, a processor, and a logistics aging tracking program stored in the memory and operable on the processor, and when executed by the processor, the logistics aging tracking program implements the steps of the logistics aging tracking method as described above.
In addition, to achieve the above object, the present invention further provides a computer readable storage medium, having a logistics aging tracking program stored thereon, which when executed by a processor, implements the steps of the logistics aging tracking method as described above.
The embodiment of the invention provides a logistics timeliness tracking method, a logistics timeliness tracking device, a terminal device and a storage medium, wherein order track information is obtained; matching the user-defined nodes according to the track information to obtain information of each node of the order; performing statistical analysis on the information of each node to obtain a statistical analysis result; and grading the logistics merchants according to the statistical analysis result. By acquiring the track information of the order and matching the track information with the user-defined nodes, effective information of each node of the order can be extracted from numerous and complicated logistics information, and suppliers can be effectively evaluated by carrying out statistical analysis on the information of a large number of order nodes, so that higher-quality logistics suppliers are screened, and the logistics efficiency is improved.
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FIG. 1 is a functional module schematic diagram of a terminal device to which a logistics aging tracking device belongs;
FIG. 2 is a schematic flow chart diagram illustrating an exemplary embodiment of a logistics aging tracking method of the present invention;
FIG. 3 is a schematic flow chart diagram illustrating another exemplary embodiment of a logistics aging tracking method of the present invention;
FIG. 4 is a schematic diagram of a detailed flow of matching the custom nodes according to the trajectory information to obtain information of each node of the order in the embodiment of the present invention;
fig. 5 is a schematic flow chart illustrating monitoring of information of each node of an order according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The main solution of the embodiment of the invention is as follows: obtaining the track information of the order; matching the user-defined nodes according to the track information to obtain information of each node of the order; performing statistical analysis on the information of each node to obtain a statistical analysis result; and grading the logistics merchants according to the statistical analysis result. By acquiring the track information of the order and matching the track information with the user-defined nodes, effective information of each node of the order can be extracted from numerous and complicated logistics information, and suppliers can be effectively evaluated by carrying out statistical analysis on the information of a large number of order nodes, so that higher-quality logistics suppliers are screened, and the logistics efficiency is improved.
The technical terms related to the embodiment of the invention are as follows:
API (Application Programming Interface): are some predefined interfaces or conventions that refer to the joining of different components of a software system. To provide a set of routines that applications and developers can access based on certain software or hardware without accessing source code or understanding the details of the internal workings.
IP (Internet Protocol): the method can realize interconnection and intercommunication of large-scale heterogeneous networks and partition the coupling relationship between top network application and bottom network technology, so as to be beneficial to independent development of the top network application and the bottom network technology.
Python (computer programming language): an interpreted programming language provides efficient high-level data structures, yet simple and efficient object-oriented programming.
lazada (pradada): one of the largest online shopping sites in the southeast asian region.
17 track: one kind of cross-border E-commerce logistics platform.
Specifically, referring to fig. 1, fig. 1 is a functional module schematic diagram of a terminal device to which the logistics aging tracking apparatus of the present invention belongs. The logistics aging tracking device can be a device which is independent of the terminal equipment and can track logistics aging, and the logistics aging tracking device can be borne on the terminal equipment in a hardware or software mode. The terminal device can be an intelligent mobile terminal with a data processing function, such as a mobile phone and a tablet personal computer, and can also be a fixed terminal device or a server with a data processing function.
In this embodiment, the terminal device to which the logistics aging tracking apparatus belongs at least includes an output module 110, a processor 120, a memory 130 and a communication module 140.
The memory 130 stores an operating system and a logistics aging tracking program, and the logistics aging tracking device can store the acquired track information of the order, the information of each node of the order obtained by matching the custom node according to the track information, the statistical analysis of the information of each node, the statistical analysis result obtained, and the information of the logistic quotient grading according to the statistical analysis result in the memory 130; the output module 110 may be a display screen or the like. The communication module 140 may include a WIFI module, a mobile communication module, a bluetooth module, and the like, and communicates with an external device or a server through the communication module 140.
Wherein the logistics aging tracking program in the memory 130 when executed by the processor implements the following steps:
acquiring track information of an order;
matching the user-defined nodes according to the track information to obtain information of each node of the order;
performing statistical analysis on the information of each node to obtain a statistical analysis result;
and grading the logistics merchants according to the statistical analysis result.
Further, the logistics aging tracking program in the memory 130 when executed by the processor further implements the following steps:
acquiring track information of the order from a logistics website through a crawler technology; or
And acquiring the track information of the order through an application program interface API of the docking logistics provider.
Further, the logistics aging tracking program in the memory 130 when executed by the processor further implements the following steps:
and crawling the track information of the order of the logistics website by a plurality of crawler hosts at the same time, wherein the crawler hosts use an intelligent agent Internet Protocol (IP).
Further, the logistics aging tracking program in the memory 130 when executed by the processor further implements the following steps:
it is right the state information of crawler host computer monitors, wherein, the state information of crawler host computer includes the operating condition of crawler host computer, the quantity that need crawl every day, the quantity that current was crawled, the quantity that current team was crawled and the quantity that current anomaly was crawled.
Further, the logistics aging tracking program in the memory 130 when executed by the processor further implements the following steps:
configuring a custom node, wherein the custom node comprises one or more of waiting for surfing the internet, leaving a port, customs clearance, arriving at a destination, rejecting a customer, returning and having a good deal.
Further, the logistics aging tracking program in the memory 130 when executed by the processor further implements the following steps:
extracting key words in the track information;
matching the keywords with the pre-configured custom nodes;
and obtaining the information of each node of the order according to the matching result.
Further, the logistics aging tracking program in the memory 130 when executed by the processor further implements the following steps:
carrying out statistical analysis on the time spent in reaching each node to obtain the time efficiency of each node;
carrying out statistical analysis on the Internet surfing time of the order to obtain the Internet surfing time of the order;
performing statistical analysis on the signing information of each country to obtain the signing yield of each country;
performing statistical analysis on the signing information of each order to obtain the signing rate of each order;
and taking the time efficiency of each node, the online time efficiency of the order, the sign-in rate of each country and the sign-in rate of each order as the statistical analysis result.
According to the scheme, the track information of the order is obtained; matching the user-defined nodes according to the track information to obtain information of each node of the order; performing statistical analysis on the information of each node to obtain a statistical analysis result; and grading the logistics merchants according to the statistical analysis result. By acquiring the track information of the order and matching the track information with the user-defined nodes, effective information of each node of the order can be extracted from numerous and complicated logistics information, and suppliers can be effectively evaluated by carrying out statistical analysis on the information of a large number of order nodes, so that higher-quality logistics suppliers are screened, and the logistics efficiency is improved.
Based on the above terminal device architecture but not limited to the above architecture, embodiments of the method of the present invention are presented.
The execution subject of the method of this embodiment may be a logistics aging tracking apparatus or a terminal device, and the logistics aging tracking apparatus is used for example in this embodiment.
Referring to fig. 2, fig. 2 is a schematic flow chart of an exemplary embodiment of the logistics aging tracking method of the invention. The logistics aging tracking method comprises the following steps:
step S10, acquiring track information of the order;
in the process of transporting goods, a logistics company collects the goods sent by a shipper, gives a waybill number corresponding to each goods, registers the shipping information and the waybill number of the goods in a logistics management system, and finally sends the goods to a goods transfer station of a destination. After the goods arrive at the transfer station, the current position information of the goods is timely sent to the logistics aging tracking platform, the logistics information of the goods can be inquired after the logistics aging tracking platform is updated, the position information of the goods is obtained, and the track information of the order can be formed according to the position information of the goods.
The track information of the order can be obtained from a logistics website through a Python crawler technology or obtained through an application program interface API of a logistics provider. The method for obtaining the orders from the logistics website through the Python crawler technology mainly comprises the steps that track information of the orders of the logistics website is crawled through a plurality of crawler hosts at the same time, wherein the crawler hosts use an intelligent agent Internet Protocol (IP) to skip the IP limit of the logistics website, and the quantity of the track information crawled every day is ensured.
In the embodiment of the invention, 4 virtual hosts are adopted, 20 crawler scripts are deployed together, and track information of each website is crawled, wherein the websites comprise cainiao, lazada, 17track and the like, and the intelligent agent IP is used for skipping the IP limit of a third-party website, so that track information of more than 10 ten thousand tracking numbers can be efficiently crawled every day. In addition, need carry out unusual control to the crawler host computer, whether survive including the control crawler host computer, whether be in normal operating condition, the quantity that the control needs to be crawled every day, the quantity that has crawled at present, the quantity that current team was crawled inserts, the quantity that current anomaly crawled, the condition is crawled to the accurate orbit of knowing every day, in time handles unusually.
Step S20, matching the user-defined nodes according to the track information to obtain the information of each node of the order;
after the track information of each order is obtained, because different logistics providers may have differences in naming of different nodes, for example, some logistics providers name a transit center as a certain distribution place, and some logistics providers name a transit center as a certain transit station, it is difficult to perform statistical analysis on numerous and complicated logistics information. In the embodiment of the invention, the self-defined nodes are configured in advance, including node information such as waiting for surfing the internet, leaving a port, customs clearance and the like, and track nodes of orders can be obtained by extracting keywords in the track information and then carrying out fuzzy or accurate matching according to the keywords and the configured keywords of the self-defined nodes.
Step S30, carrying out statistical analysis on the information of each node to obtain a statistical analysis result;
after the track nodes of the order are obtained, statistical analysis can be carried out according to the information of each node, and the time for reaching each node is counted to obtain the time effectiveness of each node; by counting the internet surfing time of each order, the logistics traders can timely record the internet surfing of each order, and the omission condition is avoided; by means of statistical analysis of the signing information of each country, the signing yield of each country can be counted; by counting the signing information of each order, the order signing rate condition of each logistics provider can be accurately analyzed, and thus the logistics providers are graded.
And step S40, grading the logistics merchants according to the statistical analysis result.
After statistical analysis results such as the timeliness of all nodes, the online timeliness of orders, the sign-in rate of all countries, the sign-in rate of all orders and the like are obtained, the overall efficiency of logistics merchants can be evaluated according to the timeliness of all nodes, and whether the logistics merchants update the logistics information of the orders or not can be evaluated according to the online timeliness of the orders; selecting more appropriate logistics merchants according to the sign-in rate of each country; the signing conditions of the logistics can be analyzed and compared according to the signing rate of the order, and the logistics merchants are graded by integrating the analysis results, so that the logistics merchants with higher quality can be followed or replaced in time, and the logistics efficiency is improved.
In the embodiment, the track information of the order is obtained; matching the user-defined nodes according to the track information to obtain information of each node of the order; performing statistical analysis on the information of each node to obtain a statistical analysis result; and grading the logistics merchants according to the statistical analysis result. By acquiring the track information of the order and matching the track information with the user-defined nodes, effective information of each node of the order can be extracted from numerous and complicated logistics information, and suppliers can be effectively evaluated by carrying out statistical analysis on the information of a large number of order nodes, so that higher-quality logistics suppliers are screened, and the logistics efficiency is improved.
Referring to fig. 3, fig. 3 is a schematic flow chart of another exemplary embodiment of the logistics aging tracking method of the invention. Based on the embodiment shown in fig. 2, in this embodiment, before the step of matching the custom node according to the track information to obtain information of each node of the order, the method for tracking the logistics aging further includes:
step S11, configuring self-defined nodes, wherein the self-defined nodes comprise waiting for surfing the net, leaving the port, customs clearance, arriving at the destination, rejecting the sign by the client, returning and having been paid. In the present embodiment, step S11 is implemented between step S10 and step S20, and in other embodiments, step S11 may be implemented before step S10.
Compared with the embodiment shown in fig. 2, the present embodiment further includes a scheme of configuring a custom node.
Specifically, in the process of transporting goods, because different logistics providers may have different names for different nodes, for example, some logistics providers name a transit center as a certain distribution place, and some logistics providers name a transit center as a certain transfer station, a certain distribution center, or a certain warehouse, etc., it is difficult to perform statistical analysis on numerous and complicated logistics information. In the embodiment of the invention, the pre-configured custom nodes comprise 25 node information such as waiting for surfing the internet, leaving a port, customs clearance, arriving at a destination, refusing to sign, returning, having been paid and the like, and then the configured custom nodes are matched with the node keywords in the track information, so that the logistics information of each order is unified, and the logistics information is conveniently subjected to statistical analysis.
Through the scheme, the configured custom nodes are matched with the node keywords in the track information through configuration of the custom nodes, specifically including 25 node information such as waiting for surfing the internet, leaving a port, customs clearance, arriving at a destination, refusing to sign, returning, having made a lot, and the like, so that logistics information of each order is unified, statistical analysis is conducted on the logistics information, and evaluation on logistics merchants is more efficient and accurate.
Referring to fig. 4, fig. 4 is a schematic view of a detailed flow of obtaining information of each node of an order by matching a custom node according to the trajectory information in the embodiment of the present invention, in this embodiment, the step of obtaining information of each node of an order by matching a custom node according to the trajectory information includes:
step S201, extracting keywords in the track information;
in the logistics transportation process, track information of an order usually comprises express collecting, express receiving, express distributing center arrival, express delivery site arrival, customer label rejection, returned orders, delivery completion and the like, and then keywords in the track information can be extracted and matched with pre-configured custom nodes.
Step S202, matching the keywords with the pre-configured custom nodes;
after extracting the keywords in the track information of each order, extracting the keywords in the track information, matching the keywords with the pre-configured custom nodes, and carrying out fuzzy or precise matching according to the differences and relations of each logistics to the names of the keywords, thereby obtaining more uniform logistics node information.
And step S203, obtaining the information of each node of the order according to the matching result.
According to the track information of each order and the matching result of the pre-configured custom node, unified information of each node of the order can be obtained, referring to fig. 5, fig. 5 is a schematic flow chart for monitoring the information of each node of the order in the embodiment of the invention, the information of each node of the order is obtained according to the matching result, the number of days of overtime alarm of the node can be set, data of different dimensions such as internet access rate, national signature yield, logistics signature yield and the like can be counted, logistics traders are supervised and urged to process in time according to the overtime alarm of analysis, and the logistics traders are graded, so that the efficiency is improved by using higher-quality logistics traders.
In this embodiment, matching a user-defined node according to the track information to obtain information of each node of the order, specifically including extracting a keyword in the track information; matching the keywords with the pre-configured custom nodes; and obtaining the information of each node of the order according to the matching result. According to the obtained information of each node of the order, the number of overtime alarm days of the node can be set, data with different dimensions such as the internet access rate, the national signature yield and the logistics signature yield are counted, logistics traders are supervised to process in time according to overtime alarm analysis, and the logistics traders are graded, so that the efficiency is improved by using higher-quality logistics traders.
In addition, an embodiment of the present invention further provides a logistics aging tracking apparatus, where the logistics aging tracking apparatus includes:
the acquisition module is used for acquiring the track information of the order;
the matching module is used for matching the user-defined nodes according to the track information to obtain the information of each node of the order;
the analysis module is used for carrying out statistical analysis on the information of each node to obtain a statistical analysis result;
and the rating module is used for rating the logistics merchants according to the statistical analysis result.
In this embodiment, according to the order tracking number and the logistics information, websites such as cainiao, lazada, and 17track are crawled by using a Python crawler technology to obtain track information, and a docking logistics provider API obtains track information. And (3) self-defining 25 node information such as waiting for surfing the internet, leaving a port, customs clearance, arriving at a destination, refusing to sign, returning, having been paid and the like, fuzzy or accurate matching of track nodes according to track information and self-defining configuration keywords, recording internet surfing time and signing time, configuring the number of days for which the configuration nodes stay overtime alarm, and configuring the number of days for which the configuration nodes stay for exceeding the configuration days, namely, alarming for overtime abnormity of the order. The method comprises the steps of adopting 4 virtual hosts and 20 machines, deploying 20 crawler scripts and crawling track information of each website simultaneously, and using an intelligent agent IP to skip the IP limit of a third-party website, so that track information of more than 10 ten thousand tracking numbers can be crawled every day, and track information can be efficiently obtained.
In addition, whether need monitor the crawler host computer and survive, whether be in normal operating condition, the quantity need be crawled every day in the control, the quantity has been crawled at present, the quantity is crawled in the current team of inserting, the quantity of current unusual crawling, the condition is crawled to the accurate orbit of knowing every day, in time handles unusually. After the acquired track information is matched with the pre-configured custom nodes, the information of each node of the order is obtained, and the data analysis is performed on the information of each node, which mainly comprises the following steps: node aging: the time spent in reaching each node is counted, the time of each node is accurately known, and the time-efficiency nodes can be improved by compressing as much as possible; and (3) network surfing aging: the online timeliness of the orders is counted, so that the orders are ensured to be online in time by logistics merchants, and omission is avoided; the national signature yield: the yield of each country is counted and analyzed, and logistics merchants need to be followed in time when the yield is too low, or higher-quality logistics merchants need to be replaced; yield of physical distribution labels: and (4) counting the yield of each logistics label, accurately analyzing the condition of the logistics label rate and analyzing whether the logistics label reaches the standard or not.
In the embodiment of the invention, the track information is obtained by using Python crawler technology and butt-joint logistics provider API according to the order tracking number and the logistics information, automatically matching the self-defined nodes according to the track information, configuring the self-defined nodes comprising 25 node information of waiting for surfing the internet, leaving a port, customs clearance, arriving at a destination, refusing to sign by a client, returning, having been delivered and the like so as to match the configured self-defined nodes with the node keywords in the track information, thereby unifying the logistics information of each order, setting different dimension analysis data such as overtime alarm days of nodes, net surfing rate statistics, national signature yield statistics, logistics signature yield statistics and the like, providing a method for monitoring the condition of order delivery to a destination and the logistics delivery timeliness, and warning according to analysis overtime, and prompting the logistics providers to process in time and grade the logistics providers, so that the efficiency is improved by using the higher-quality logistics providers.
In addition, an embodiment of the present invention further provides a terminal device, where the terminal device includes a memory, a processor, and a logistics aging tracking program that is stored in the memory and is capable of running on the processor, and when executed by the processor, the logistics aging tracking program implements the steps of the logistics aging tracking method described above.
Since the logistics aging tracking program is executed by the processor, all technical solutions of all the foregoing embodiments are adopted, so that at least all the beneficial effects brought by all the technical solutions of all the foregoing embodiments are achieved, and no further description is given here.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, where a logistics aging tracking program is stored on the computer-readable storage medium, and when executed by a processor, the logistics aging tracking program implements the steps of the logistics aging tracking method described above.
Since the logistics aging tracking program is executed by the processor, all technical solutions of all the foregoing embodiments are adopted, so that at least all the beneficial effects brought by all the technical solutions of all the foregoing embodiments are achieved, and no further description is given here.
Compared with the prior art, the logistics aging tracking method, the logistics aging tracking device, the terminal equipment and the storage medium provided by the embodiment of the invention have the advantages that the track information of the order is obtained; matching the user-defined nodes according to the track information to obtain information of each node of the order; performing statistical analysis on the information of each node to obtain a statistical analysis result; and grading the logistics merchants according to the statistical analysis result. By acquiring the track information of the order and matching the track information with the user-defined nodes, effective information of each node of the order can be extracted from numerous and complicated logistics information, and suppliers can be effectively evaluated by carrying out statistical analysis on the information of a large number of order nodes, so that higher-quality logistics suppliers are screened, and the logistics efficiency is improved.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present application may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, a controlled terminal, or a network device) to execute the method of each embodiment of the present application.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (10)

1. A logistics aging tracking method is characterized by comprising the following steps:
acquiring track information of an order;
matching the user-defined nodes according to the track information to obtain information of each node of the order;
performing statistical analysis on the information of each node to obtain a statistical analysis result;
and grading the logistics merchants according to the statistical analysis result.
2. The logistics aging tracking method of claim 1, wherein the step of obtaining trajectory information of the order comprises:
acquiring track information of the order from a logistics website through a crawler technology; or
And acquiring the track information of the order through an application program interface API of the docking logistics provider.
3. The method for tracking logistics aging according to claim 2, wherein the step of obtaining the track information of the order from the logistics website by using the crawler technology comprises:
and crawling the track information of the order of the logistics website by a plurality of crawler hosts at the same time, wherein the crawler hosts use an intelligent agent Internet Protocol (IP).
4. The method for tracking logistics aging according to claim 3, wherein the step of obtaining the track information of the order from the logistics website by using the crawler technology further comprises the following steps:
it is right the state information of crawler host computer monitors, wherein, the state information of crawler host computer includes the operating condition of crawler host computer, the quantity that need crawl every day, the quantity that current was crawled, the quantity that current team was crawled and the quantity that current anomaly was crawled.
5. The method for tracking logistics aging according to claim 1, wherein the step of obtaining information of each node of the order by matching the custom node according to the track information further comprises:
configuring a custom node, wherein the custom node comprises one or more of waiting for surfing the internet, leaving a port, customs clearance, arriving at a destination, rejecting a customer, returning and having a good deal.
6. The method for tracking logistics aging according to claim 5, wherein the step of obtaining information of each node of the order by matching the custom node according to the track information comprises:
extracting key words in the track information;
matching the keywords with the pre-configured custom nodes;
and obtaining the information of each node of the order according to the matching result.
7. The method for tracking logistics aging according to claim 1, wherein the step of performing statistical analysis on the information of each node to obtain the statistical analysis result comprises:
carrying out statistical analysis on the time spent in reaching each node to obtain the time efficiency of each node;
carrying out statistical analysis on the Internet surfing time of the order to obtain the Internet surfing time of the order;
performing statistical analysis on the signing information of each country to obtain the signing yield of each country;
performing statistical analysis on the signing information of each order to obtain the signing rate of each order;
and taking the time efficiency of each node, the online time efficiency of the order, the sign-in rate of each country and the sign-in rate of each order as the statistical analysis result.
8. The logistics aging tracking device is characterized by comprising:
the acquisition module is used for acquiring the track information of the order;
the matching module is used for matching the user-defined nodes according to the track information to obtain the information of each node of the order;
the analysis module is used for carrying out statistical analysis on the information of each node to obtain a statistical analysis result;
and the rating module is used for rating the logistics merchants according to the statistical analysis result.
9. A terminal device, characterized in that the terminal device comprises a memory, a processor and a logistics aging tracking program stored on the memory and executable on the processor, the logistics aging tracking program when executed by the processor implementing the steps of the logistics aging tracking method of any one of claims 1 to 7.
10. A computer-readable storage medium, having a logistics aging tracking program stored thereon, which when executed by a processor, implements the steps of the logistics aging tracking method of any one of claims 1-7.
CN202111624141.7A 2021-12-27 2021-12-27 Logistics timeliness tracking method and device, terminal equipment and storage medium Pending CN114490807A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115759912A (en) * 2022-12-01 2023-03-07 广州市昊链信息科技股份有限公司 AI robot system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115759912A (en) * 2022-12-01 2023-03-07 广州市昊链信息科技股份有限公司 AI robot system

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